Overview
Data Structures
|
Divisions
|
Metrics
|
Values
|
|
size
|
observations
|
9,994
|
|
size
|
variables
|
23
|
|
size
|
values
|
229,862
|
|
size
|
memory size (MB)
|
2
|
|
duplicated
|
duplicate observation
|
0
|
|
missing
|
complete observation
|
9,994
|
|
missing
|
missing observation
|
0
|
|
missing
|
missing variables
|
0
|
|
missing
|
missing values
|
0
|
Data Types
|
Divisions
|
Metrics
|
Values
|
|
data type
|
numerics
|
6
|
|
data type
|
integers
|
0
|
|
data type
|
factors/ordered
|
0
|
|
data type
|
characters
|
15
|
|
data type
|
Dates
|
0
|
|
data type
|
POSIXcts
|
2
|
|
data type
|
others
|
0
|
Job Informations
|
Divisions
|
Metrics
|
Values
|
|
dataset
|
dataset
|
retail_supply_chain_sales
|
|
dataset
|
dataset type
|
tbl_df
|
|
dataset
|
target
|
Sales
|
|
job
|
samples
|
9,994 / 9,994 (100%)
|
|
job
|
created
|
2024-12-15 23:42:54.337144
|
|
job
|
created by
|
dlookr
|
Univariate Analysis
Descriptive Statistics
Descriptive statistics and visualization of individual variables
Normality Test
Normality test results of numeric variables
Bivariate Analysis
Compare Numerical Variables
Relationship between two numerical variables
Compare Categorical Variables
The number of categorical variables is less than 2.
Multivariate Analysis
Correlation Analysis
Correlation Matrix
Correlation coefficient matrix of numeric variables
Correlation Plot
Correlation coefficient matrix plot

Target based Analysis
Target Variable and Numeric Variables
Relationship between two numerical variables by level of target variable
Target Variable and Categorical Variables
There are no categorical variables except for the target variable.
Created by dlookr package